Advances in Modern Pathology
Pathology is the study of the causes and effects of disease or injury. The word pathology also refers to the study of disease in general, incorporating a wide range of biology research fields and medical practices. However, when used in the context of modern medical treatment, the term is often used in a narrower fashion to refer to processes and tests that fall within the contemporary medical field of "general pathology", an area which includes a number of distinct but inter-related medical specialties that diagnose disease, mostly through analysis of tissue and human cell samples. Idiomatically, "a pathology" may also refer to the predicted or actual progression of particular diseases (as in the statement "the many different forms of cancer have diverse pathologies", in which case a more proper choice of word would be "pathophysiologies"), and the affix pathy is sometimes used to indicate a state of disease in cases of both physical ailment (as in cardiomyopathy) and psychological conditions (such as psychopathy). A physician practicing pathology is called a pathologist.
Sample Chapter(s)
Preface (96 KB)
Components of the Book:
  • Chapter 1
    Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning
  • Chapter 2
    Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
  • Chapter 3
    Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
  • Chapter 4
    Projective diffeomorphic mapping of molecular digital pathology with tissue MRI
  • Chapter 5
    Innovating undergraduate pathology education through public engagement
  • Chapter 6
    Variability in endometrial carcinoma pathology practice: opportunities for improvement with molecular classification
  • Chapter 7
    Privacy risks of whole-slide image sharing in digital pathology
  • Chapter 8
    Inflammatory monocytes promote pre-engraftment syndrome and tocilizumab can therapeutically limit pathology in patients
  • Chapter 9
    Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images
  • Chapter 10
    Validation of the Decipher Test for predicting adverse pathology in candidates for prostate cancer active surveillance
  • Chapter 11
    Authoritarianism as pathology of recognition: the sociological substance and actuality of the authoritarian personality
  • Chapter 12
    Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Readership: Students, academics, teachers and other people attending or interested in Modern Pathology
Akira Saito
Department of Molecular Pathology, Tokyo Medical University, Shinjuku-ku, Tokyo 160-8402, Japan

James A Diao
PathAI, Inc., Boston, MA, USA

Jojanneke Drogt
1Department of Medical Humanities, University Medical Center, Utrecht, The Netherlands

Kaitlin M Stouffer
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA

and more...
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